# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import torch.utils.data
import torchvision

# from .coco import build as build_coco


# def get_coco_api_from_dataset(dataset):
#     for _ in range(10):
#         if isinstance(dataset, torchvision.datasets.CocoDetection):
#             break
#         if isinstance(dataset, torch.utils.data.Subset):
#             dataset = dataset.dataset
#     if isinstance(dataset, torchvision.datasets.CocoDetection):
#         return dataset.coco


# def build_dataset(image_set, args):
#     if args.dataset_file == 'coco':
#         return build_coco(image_set, args)
#     if args.dataset_file == 'coco_panoptic':
#         #to avoid making panopticapi required for coco
#         from .coco_panoptic import build as build_coco_panoptic
#         return build_coco_panoptic(image_set, args)
#     raise ValueError(f'dataset {args.dataset_file} not supported')
